July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Evaluating the model
After training the model, we will evaluate the model on the test set:
model.evaluate(x=data_test,y=labels_test)
We can also evaluate the model on the same train set, and that will help us to understand the training accuracy:
model.evaluate(x=data,y=labels)
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